Exploring the spatiotemporal evolution dynamic and influencing factor of green ecology transition for megacities: A case study of Chengdu, China

Abstract

Global climate change, rapid urbanization, and economic development have brought many challenges and threats to human production and lifestyles, increasing the necessity for sustainable human development, urban ecological governance, and low-carbon energy transformation. The current research on the green ecological transition model of global megacities is relatively scattered, with most studies focusing on the green ecological transition of a single dimension of ecological or social value. Based on the panel data of the economic, social, and ecological of Chengdu from 2010 to 2020, we measure the level of green ecological transition of Chengdu and its regions using the entropy weight method and TOPSIS method and then utilize exploratory spatial data analysis to explore the spatiotemporal evolution dynamic of green ecological transition in Chengdu city, and finally use the spatial Durbin model to analyze the key factors of green ecological transition in Chengdu park city. The results showed that: (1) the overall green ecological development level of Chengdu Park City showed an obvious upward trend, and the spatial region presents the characteristics of the circle structure of decreasing from the inside to the outside; (2) the green ecological transformation of Chengdu park cities has shown a positive spatial autocorrelation since 2015, and Jinjiang and Qingyang districts have become the green ecological transformation; (3) the adjustment of energy structure and the improvement of market freedom had a significant positive impact on the development of park cities, with a contribution of 8.3% and 10.9%, respectively. These results and findings will help to provide references for academic research and urban area planning on the green and low-carbon development transition and regional sustainable development of megapark cities.